Role Overview
We are seeking an experienced ETL Data Integration Engineer to join our dynamic team. The ideal candidate will be responsible for designing and implementing data integration solutions that ensure seamless data flow across multiple platforms. You will work closely with cross-functional teams, identifying data needs and developing solutions that support business objectives. If you are passionate about data engineering and have a strong analytical mindset, we want to hear from you!
Key Responsibilities:
- Design and develop ETL processes for data integration and migration.
- Collaborate with stakeholders to understand data requirements and design solutions accordingly.
- Monitor and optimize data pipelines for performance and reliability.
- Create and maintain comprehensive documentation for data integration processes.
- Perform data quality checks and implement necessary data cleansing activities.
- Troubleshoot and resolve issues related to ETL jobs and data quality.
- Work with existing databases and data storage solutions to ensure compatibility.
- Implement best practices for data security and compliance during data integration.
- Continuously review and refine data integration processes for better efficiency.
Required Skills:
- Proficient in SQL and database management systems.
- Experience with ETL tools such as Informatica or Talend.
- Strong understanding of data warehousing concepts and architectures.
- Ability to write advanced SQL queries and optimize them.
- Familiarity with cloud-based data solutions like AWS or Azure.
- Knowledge of data modeling and transformation techniques.
- Experience with scripting languages like Python or Shell.
- Solid understanding of data governance practices.
- Strong analytical and problem-solving skills.
Preferred Skills:
- Experience with big data technologies like Hadoop or Spark.
- Knowledge of API integration and web services.
- Familiarity with Agile methodologies.
- Certification in data engineering or related fields.
